# Chapter 6 — Assignment

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1. Use SPSS and Framingham_One Sample data to compute and interpret 95% CI for the following variables:
2. Number of cigarettes per day (CIGPDAY).
3. Time to MI (TIMEMI)
4. Blood Glucose level (GLUCOSE)
• Use SPSS and Framingham_Independent Sample data to compute and interpret 95% CI for the mean difference between those with diabetes (DIABETES = 1) and those without diabetes  (DIABETES =0) for the following variables:
• Number of cigarettes per day (CIGPDAY).
• Time to MI (TIMEMI)
• Blood Glucose level (GLUCOSE)
• Use SPSS and Framingham_Paired Sample data to compute and interpret 95% CI for the mean difference between base line (_1) and second follow up period (_3) for the following variables:
• Body Mass Index (BMI)
• Total Cholesterol (TOTCHOL)
• Glucose level (GLUCOSE)
• Use SPSS and Framingham_RROR Sample data to compute and interpret 95% CI OR and RR between smokers (CURSMOKE = 1) and non-smokers (CURSMOKE = 2) for the following outcome variables:
• Diabetes (DIABETES)
• MI (PREVMI)
• CHD (PREVCHD)
• Use SPSS and Framingham_RROR Sample data to compute and interpret 95% CI OR and RR between users of BP medications (BPMEDS= 1) and non-users of BP medications  (BPMEDS = 2) for the following outcome variables:
• CHD (PREVCHD)
• Stroke (PREVSSTRK)
• Diabetes (DIABETES)

Note for #4 and #5: (1=has the disease, 2=does not have the disease)